collaborators

7 papers

cs.CV2026

FiCA: Feed-forward instant Gaussian Codec Avatars from a Single Portrait Image

Kim Youwang, Zhengyu Yang, Liuhao Ge +8

We introduce FiCA, a Feed-forward, instant Gaussian Codec Avatar generation pipeline that creates lifelike avatars from a single portrait image. Generating a photorealistic and dri…

cs.GR2026

OmniFaceRig: Fully Automatic Inner-Mouth-Aware Face Rigging Across Diverse 3D Character Topologies

Chao Wang, Guangyao Ma, John Doublestein +10

Facial rigging - creating FACS-based blendshapes together with inner-mouth geometry (teeth, gums, and tongue) - remains a major bottleneck in 3D character production. Existing pipe…

cs.CV2026

Sapiens2

Rawal Khirodkar, He Wen, Julieta Martinez +3

We present Sapiens2, a model family of high-resolution transformers for human-centric vision focused on generalization, versatility, and high-fidelity outputs. Our model sizes rang…

cs.CV2026

GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos

Yiqian Wu, Rawal Khirodkar, Egor Zakharov +6

We present GenLCA, a diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs. The generated avatars are faithful to…

cs.CV2026

Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining

Junxuan Li, Rawal Khirodkar, Chengan He +37

High-quality 3D avatar modeling faces a critical trade-off between fidelity and generalization. On the one hand, multi-view studio data enables high-fidelity modeling of humans wit…

cs.CV2026

DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction

Yufu Wang, Evonne Ng, Soyong Shin +8

We present DuoMo, a generative method that recovers human motion in world-space coordinates from unconstrained videos with noisy or incomplete observations. Reconstructing such mot…